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Application of data mining technique...
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Ramos, Nuno M.M.
Application of data mining techniques in the analysis of indoor hygrothermal conditions
Record Type:
Electronic resources : Monograph/item
Title/Author:
Application of data mining techniques in the analysis of indoor hygrothermal conditionsby Nuno M.M. Ramos ... [et al.].
other author:
Ramos, Nuno M.M.
Published:
Cham :Springer International Publishing :2016.
Description:
x, 48 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Indoor air quality.
Online resource:
http://dx.doi.org/10.1007/978-3-319-22294-3
ISBN:
9783319222943$q(electronic bk.)
Application of data mining techniques in the analysis of indoor hygrothermal conditions
Application of data mining techniques in the analysis of indoor hygrothermal conditions
[electronic resource] /by Nuno M.M. Ramos ... [et al.]. - Cham :Springer International Publishing :2016. - x, 48 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..
Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.
ISBN: 9783319222943$q(electronic bk.)
Standard No.: 10.1007/978-3-319-22294-3doiSubjects--Topical Terms:
709171
Indoor air quality.
LC Class. No.: TD883.17
Dewey Class. No.: 628.53
Application of data mining techniques in the analysis of indoor hygrothermal conditions
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Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
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The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.
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Engineering (Springer-11647)
based on 0 review(s)
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000000120936
電子館藏
1圖書
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EB TD883.17 A652 2016
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-22294-3
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